BDOT10k-seg: A Dataset for Semantic Segmentation
Ładowanie...
Data
2023
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
In this work, we describe BDOT10k-seg, a novel aerial dataset
for semantic and instance segmentation. Our data covers almost the entire
territory of Poland (314,000 km2) and provides precise pixel-level annotations
for 286 classes of topographical objects, including buildings, roads,
rivers, lakes, airports, agricultural areas, and forests. BDOT10-seg consists
of 60,718 images with a resolution of 3 to 75 centimeters per pixel, and more
than 40 million object instances. The average image size is 12,367 px because,
unlike other publicly available datasets, we do not modify the source
orthoimages. The code for generating the BDOT10k-seg dataset is publicly
available.
Opis
Słowa kluczowe
BDOT10k, remote sensing, aerial images, semantic segmentation, instance segmentation, BDOT10k, teledetekcja, zdjęcia lotnicze, segmentacja semantyczna, segmentacja instancji
Cytowanie
Kos A., Majek K., BDOT10k-seg: A Dataset for Semantic Segmentation. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 401-406, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.63.